Job ID: JR0232893

Job Category: Software Engineering

Primary Location: Paris, A8 FR

Other Locations:

Job Type: Experienced Hire

HPC Research, Enabling and Optimization Engineer

Job Description

Join a Pathfinding and high-profile Deals Assist (PanDA) team where we are responsible for inventing new and supporting existing methods for benchmarks analysis and categorization, providing pre-sales support of our customers through delivering estimations for next gen Intel's hardware, influencing future HW via feedback and work with Intel Architects. We are seeking a motivated Engineer to drive transformational performance leadership in the HPC with Intel CPU and dGPU.

This position requires out-of-box thinking, expertise in software engineering, and optimization/development skills, as well as knowledge of distributed/shared memory parallelism. Development of innovative algorithms on Intel Architecture (IA) is encouraged and an ability to implement and to prove them on future HW (such as Intel's discrete GPU) and in large computing environments will be critical. The successful candidate must also possess strong verbal and written communication skills in English and demonstrated ability to work in a demanding cross-geo team-oriented environment. The successful candidate will be expected to stay abreast of and contribute to new developments in state-of-the art approaches to HPC and IA and contribute to the development of Intel's intellectual property and future Intel's HW/SW co-design.

Qualifications

Master's Degree in Computer Engineering, Computer Science, or a relevant engineering discipline AND 2+ years of experience in the development, performance analysis and optimization OR PhD in Computer Engineering or Computer Science or a relevant engineering discipline AND 1+ years of post-PhD experience with development, performance profiling and optimization of large HPC applications
-Demonstrated proficiency in Python, FORTRAN or C/C++ and in parallel programming with MPI/OpenMP/TBB/SIMD/etc.
Knowledge of characterization and modelling of behaviour of complex workloads on large-scale Linux clusters
Knowledge of Hardware and Software parallel architectures
Excellent customer communication and collaboration skills
Team/project leadership experience is a good bonus

Desired Skills:

Experience in Cluster Analysis, Machine Learning, Deep Learning, BigData processing and analysis. At least basic experience with sci-kit-learn, Keras, TensorFlow and PyTorch libraries. Experience with data processing/analysis and relevant libraries (pandas, NumPy, matplotlib etc.) will be an advantage too.
HPC scientific domain expertise (any of major domains like: Weather forecast, Molecular Dynamic, Live Science, Oil and Gas, Manufacturing, Quantum Chromodynamics etc.)
Team/project lead 1+ year of experience
Demonstrated innovations in HPC and dGPU algorithms through publications, patents or GitHub repositories
Mix of creativity and analytical skills to deliver results quickly
Experience in GPGPU programming (CUDA/OpenCL/OpenACC/OMP Offload/DPC++)

Inside this Business Group

The focus of Accelerated Computing Systems and Graphics (AXG) is to accelerate our execution in strategic growth areas of high-performance computing and graphics. AXG is chartered with delivering high performance computing and graphics solutions (IP, Software, Systems), for both integrated and discrete segments across client, enterprise and data center. Our mission is to make zeta-scale computing accessible to every human on the planet by the end of this decade and to entertain, educate and connect billions of people with buttery smooth visual experiences.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.